Scaling Uncertainties in Estimating Canopy Foliar Maintenance Respiration for Black Spruce Ecosystems in Alaska: Fid-Bau Portal

Scaling Uncertainties in Estimating Canopy Foliar Maintenance Respiration for Black Spruce Ecosystems in Alaska

Zhang, Xinxian / McGuire, A. David / Ruess, Roger W.

Abstract A major challenge confronting the scientific community is to understand both patterns of and controls over spatial and temporal variability of carbon exchange between boreal forest ecosystems and the atmosphere. An understanding of the sources of variability of carbon processes at fine scales and how these contribute to uncertainties in estimating carbon fluxes is relevant to representing these processes at coarse scales. To explore some of the challenges and uncertainties in estimating carbon fluxes at fine to coarse scales, we conducted a modeling analysis of canopy foliar maintenance respiration for black spruce ecosystems of Alaska by scaling empirical hourly models of foliar maintenance respiration ($ R_{m} $) to estimate canopy foliar $ R_{m} $ for individual stands. We used variation in foliar N concentration among stands to develop hourly stand-specific models and then developed an hourly pooled model. An uncertainty analysis identified that the most important parameter affecting estimates of canopy foliar $ R_{m} $ was one that describes $ R_{m} $ at 0 ∘C per g N, which explained more than 55% of variance in annual estimates of canopy foliar $ R_{m} $. The comparison of simulated annual canopy foliar $ R_{m} $ identified significant differences between stand-specific and pooled models for each stand. This result indicates that control over foliar N concentration should be considered in models that estimate canopy foliar $ R_{m} $ of black spruce stands across the landscape. In this study, we also temporally scaled the hourly stand-level models to estimate canopy foliar $ R_{m} $ of black spruce stands using mean monthly temperature data. Comparisons of monthly $ R_{m} $ between the hourly and monthly versions of the models indicated that there was very little difference between the estimates of hourly and monthly models, suggesting that hourly models can be aggregated to use monthly input data with little loss of precision. We conclude that uncertainties in the use of a coarse-scale model for estimating canopy foliar $ R_{m} $ at regional scales depend on uncertainties in representing needle-level respiration and on uncertainties in representing the spatial variability of canopy foliar N across a region. The development of spatial data sets of canopy foliar N represents a major challenge in estimating canopy foliar maintenance respiration at regional scales.